CORE RESPONSIBILITIES AND TASKSCollaborate with multiple levels of Finance and data organization on projects when applicableLead efforts to build reproducible code and predictive and analytical models using DataikuIntegrate exploratory data analysisLeverage storytelling and visualizations to create engaging presentations that facilitate a deep understanding of financial data behaviorPredictive Planning Model DevelopmentPerform new project intake process including meeting with the correct SW teams to gather any further data and requirementsIdentify and analyze target variables utilizing the appropriate data sources including but not limited financial data systems such as OneStream, EPM, and Microstrategy.Develop predictive models for target variables, testing for leading indicatorsRefresh and upload the necessary financial data on a monthly basis for the data model update processPerform variance analysis on the forecasted output data and test the data against the current forecasted dataContribute the development of a long-term UI and dashboarding leveraging visualization software such as Dataiku and TableauIntegrate Predictive Planning into OneStream, Plan to Perform workstream initiatives and potential other technologiesWork with the correct SW IT teams to integrate the PPI output data into OneStream scenariosCreate any new reporting in OneStream to utilize the PPI output data for variance analysisIntegrate PPI output data in OneStream into the new planning, rolling forecast, flash forecast and strategic planning processesReview and explore potential use cases of PPI data integrations into other technologiesPOSITION REQUIREMENTSFORMAL EDUCATION:Required:Bachelor's Degree in Finance, Computer Science, Statistics, Digital Engineering, Mathematics, Information Technology, or a related fieldMinimum GPA 3.0Preferred:Master's Degree in Finance, Computer Science, Statistics, Digital Engineering, Mathematics, Information Technology, or a related field.KNOWLEDGE & EXPERIENCE:Required:Possess a strong fundamental understanding statistical modeling and/or machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks)Excellent verbal and written communication skillsExceptional ability and initiative to learn and research new concepts, ideas, and technologies quicklySkilled at working in a team-oriented, collaborative environmentExcellent systems/process orientation in analytical, conceptual, and problem-solving abilitiesHighly motivated to learn new tools andAbility to present findings to stakeholders and communicate results to technical and non-technical audiences.Ability to formulate hypotheses, draw conclusions and deliver resultsCommitment to fostering a culture of inclusion and diversity.TECHNICAL/SKILL REQUIREMENTS:Required:Microsoft Office products - Excel, Word, PowerPoint, OutlookExperience with analyzing large amounts of financial and operational data to derive meaningful trends, map connections, and identify drivers of key P&L line items like revenue and costPreferred:Experience working with time series data is preferred. Prior experience with Python-based libraries for time series, will be a plus!Experience in full stack data science, including developing and deploying machine learning models in a production environmentSherwin-Williams is proud to be an Affirmative Action, Equal Employment Opportunity, Inclusion and Diversity Supportive Employer. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identify, national origin, protected veteran status, disability, age, pregnancy, genetic